{
 "cells": [
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "On Balance Volume: 能量潮\n",
    "动能， 应该由成交量的变化情况来反应。 通过量入手， 对价格走势做出预测。\n",
    "分为：\n",
    "累积OBV\n",
    "  上涨进行 正累加   ； 下跌进行  负累加\n",
    "  OBV(n) = +-V(n) + OBV(n-1)\n",
    "  \n",
    "移动OBV\n",
    "\n",
    "修正型OBV\n",
    "\n",
    "df['2014-01-01':'2015-12-01'] \n",
    "使用df做筛选的时候， 要保证index按照顺序排列\n",
    "\n",
    "dropna会将所有包含 Nan的删掉， 所以要删掉无关的字段"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\mpl_finance.py:16: DeprecationWarning: \n",
      "\n",
      "  =================================================================\n",
      "\n",
      "   WARNING: `mpl_finance` is deprecated:\n",
      "\n",
      "    Please use `mplfinance` instead (no hyphen, no underscore).\n",
      "\n",
      "    To install: `pip install --upgrade mplfinance` \n",
      "\n",
      "   For more information, see: https://pypi.org/project/mplfinance/\n",
      "\n",
      "  =================================================================\n",
      "\n",
      "  __warnings.warn('\\n\\n  ================================================================='+\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import talib as ta\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import sys\n",
    "sys.path.append(\"..\")\n",
    "\n",
    "from common import candle\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings('ignore')\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = 'F:\\HQData\\market_A\\\\'\n",
    "\n",
    "tsingTaoFile = path + '600600.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>High</th>\n",
       "      <th>Open</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>preclose</th>\n",
       "      <th>Volume</th>\n",
       "      <th>curvalue</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1993-08-27</th>\n",
       "      <td>15.30</td>\n",
       "      <td>15.00</td>\n",
       "      <td>13.45</td>\n",
       "      <td>14.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>16822600.0</td>\n",
       "      <td>240842000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993-08-30</th>\n",
       "      <td>13.70</td>\n",
       "      <td>13.70</td>\n",
       "      <td>13.17</td>\n",
       "      <td>13.26</td>\n",
       "      <td>14.00</td>\n",
       "      <td>3293700.0</td>\n",
       "      <td>44423000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993-08-31</th>\n",
       "      <td>13.37</td>\n",
       "      <td>13.18</td>\n",
       "      <td>12.80</td>\n",
       "      <td>12.90</td>\n",
       "      <td>13.26</td>\n",
       "      <td>3106200.0</td>\n",
       "      <td>40505000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993-09-01</th>\n",
       "      <td>12.95</td>\n",
       "      <td>12.85</td>\n",
       "      <td>12.82</td>\n",
       "      <td>12.92</td>\n",
       "      <td>12.90</td>\n",
       "      <td>2427800.0</td>\n",
       "      <td>31224000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993-09-02</th>\n",
       "      <td>13.10</td>\n",
       "      <td>13.00</td>\n",
       "      <td>12.90</td>\n",
       "      <td>13.02</td>\n",
       "      <td>12.92</td>\n",
       "      <td>1281700.0</td>\n",
       "      <td>16639000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             High   Open    Low  Close  preclose      Volume     curvalue\n",
       "Date                                                                     \n",
       "1993-08-27  15.30  15.00  13.45  14.00     15.00  16822600.0  240842000.0\n",
       "1993-08-30  13.70  13.70  13.17  13.26     14.00   3293700.0   44423000.0\n",
       "1993-08-31  13.37  13.18  12.80  12.90     13.26   3106200.0   40505000.0\n",
       "1993-09-01  12.95  12.85  12.82  12.92     12.90   2427800.0   31224000.0\n",
       "1993-09-02  13.10  13.00  12.90  13.02     12.92   1281700.0   16639000.0"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "file = tsingTaoFile\n",
    "if not os.path.exists(file):\n",
    "    print('do not exist')\n",
    "else:\n",
    "    df = pd.read_csv(file)\n",
    "    df.drop(columns=['signType', 'dkWarnType', 'bonusInfo', 'bonusInfoType'], inplace=True)\n",
    "    df.rename( columns={'times':'Date','openp':'Open', 'highp':'High','lowp':'Low',\"nowv\":'Close','curvol':\"Volume\"}, inplace=True)\n",
    "    df.set_index('Date', inplace=True)\n",
    "    df.index = pd.to_datetime(df.index)\n",
    "    \n",
    "    df = df.sort_index()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 6741 entries, 2021-10-22 to 1993-08-27\n",
      "Data columns (total 11 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   High           6741 non-null   float64\n",
      " 1   Open           6741 non-null   float64\n",
      " 2   Low            6741 non-null   float64\n",
      " 3   Close          6741 non-null   float64\n",
      " 4   preclose       6741 non-null   float64\n",
      " 5   Volume         6741 non-null   float64\n",
      " 6   curvalue       6741 non-null   float64\n",
      " 7   signType       6741 non-null   int64  \n",
      " 8   dkWarnType     6741 non-null   int64  \n",
      " 9   bonusInfo      25 non-null     object \n",
      " 10  bonusInfoType  6741 non-null   int64  \n",
      "dtypes: float64(7), int64(3), object(1)\n",
      "memory usage: 952.0+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>High</th>\n",
       "      <th>Open</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>preclose</th>\n",
       "      <th>Volume</th>\n",
       "      <th>curvalue</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-01-02</th>\n",
       "      <td>48.98</td>\n",
       "      <td>48.80</td>\n",
       "      <td>46.90</td>\n",
       "      <td>47.81</td>\n",
       "      <td>48.95</td>\n",
       "      <td>2592821.0</td>\n",
       "      <td>123202407.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-03</th>\n",
       "      <td>48.38</td>\n",
       "      <td>47.60</td>\n",
       "      <td>47.01</td>\n",
       "      <td>47.59</td>\n",
       "      <td>47.81</td>\n",
       "      <td>1560755.0</td>\n",
       "      <td>74301475.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-06</th>\n",
       "      <td>47.79</td>\n",
       "      <td>47.63</td>\n",
       "      <td>46.62</td>\n",
       "      <td>46.70</td>\n",
       "      <td>47.59</td>\n",
       "      <td>1860941.0</td>\n",
       "      <td>87688995.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-07</th>\n",
       "      <td>47.15</td>\n",
       "      <td>46.48</td>\n",
       "      <td>45.48</td>\n",
       "      <td>46.51</td>\n",
       "      <td>46.70</td>\n",
       "      <td>2934457.0</td>\n",
       "      <td>135083582.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-08</th>\n",
       "      <td>46.88</td>\n",
       "      <td>46.46</td>\n",
       "      <td>46.00</td>\n",
       "      <td>46.51</td>\n",
       "      <td>46.51</td>\n",
       "      <td>1800400.0</td>\n",
       "      <td>83657271.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             High   Open    Low  Close  preclose     Volume     curvalue\n",
       "Date                                                                    \n",
       "2014-01-02  48.98  48.80  46.90  47.81     48.95  2592821.0  123202407.0\n",
       "2014-01-03  48.38  47.60  47.01  47.59     47.81  1560755.0   74301475.0\n",
       "2014-01-06  47.79  47.63  46.62  46.70     47.59  1860941.0   87688995.0\n",
       "2014-01-07  47.15  46.48  45.48  46.51     46.70  2934457.0  135083582.0\n",
       "2014-01-08  46.88  46.46  46.00  46.51     46.51  1800400.0   83657271.0"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tsingtao = df\n",
    "df_tsingtao = df_tsingtao['2014-01-01':'2015-12-01']\n",
    "df_tsingtao.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2014-01-02    2592821.0\n",
       "2014-01-03    1032066.0\n",
       "2014-01-06    -828875.0\n",
       "2014-01-07   -3763332.0\n",
       "2014-01-08   -1962932.0\n",
       "Name: OBV, dtype: float64"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "df_tsingtao.Volume = df_tsingtao.Volume.replace(0, np.nan)\n",
    "df_tsingtao = df_tsingtao.dropna()\n",
    "close = df_tsingtao.Close\n",
    "volume = df_tsingtao.Volume\n",
    "\n",
    "#计算OBV\n",
    "difclose = close.diff()\n",
    "difclose[0] = 0\n",
    "\n",
    "OBV = (((difclose >= 0) * 2 - 1) * volume).cumsum()\n",
    "OBV.name='OBV'\n",
    "OBV.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 计算移动OBV\n",
    "smOBV = ta.SMA(OBV, 9)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "# 修正OBV\n",
    "# 多空比率净额 （Volume Accumulation）\n",
    "VA(n) = VA(n-1) + V(n) * [(C - L) - (H - C)]/(H-L)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    4.670000e+02\n",
       "mean     1.029670e+08\n",
       "std      1.020706e+08\n",
       "min     -1.590378e+07\n",
       "25%      7.127339e+06\n",
       "50%      7.791315e+07\n",
       "75%      2.112284e+08\n",
       "max      2.954681e+08\n",
       "Name: AdjOBVd, dtype: float64"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AdjOBV = ((close - df_tsingtao.Low) - (df_tsingtao.High - close))/(df_tsingtao.High - df_tsingtao.Low) * volume\n",
    "AdjOBV.name = 'AdjOBV'\n",
    "AdjOBV.head()\n",
    "\n",
    "AdjOBVd = AdjOBV.cumsum()\n",
    "AdjOBVd.name = 'AdjOBVd'\n",
    "AdjOBVd.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "ax1 = plt.subplot(311)\n",
    "close.plot(title='青岛啤酒收盘价')\n",
    "plt.xticks(close.index[1:3], (''))\n",
    "plt.xlabel('')\n",
    "\n",
    "ax2 = plt.subplot(312)\n",
    "OBV.plot(label='OBV', title='能量图')\n",
    "smOBV.plot(label='smOBV', linestyle='-.', color='r')\n",
    "plt.legend(loc='upper left')\n",
    "plt.xticks(close.index[1:3], (''))\n",
    "plt.xlabel('')\n",
    "\n",
    "ax3 = plt.subplot(313)\n",
    "AdjOBVd.plot(title='成交量多空比率净额')\n",
    "for ax in ax1, ax2, ax3:\n",
    "    ax.grid(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ffn\n",
    "def trade(obv, price):\n",
    "    signal = (2 * (obv.diff() > 0) - 1)[1:]\n",
    "    ret = ffn.to_returns(price)[1:]\n",
    "    ret.name = 'ret'\n",
    "    tradeRet = ret * signal.shift(1)\n",
    "    tradeRet.name = 'tradeRet'\n",
    "    Returns = pd.merge(pd.DataFrame(ret), \\\n",
    "                      pd.DataFrame(tradeRet), \\\n",
    "                      left_index=True, right_index=True).dropna()\n",
    "    return (Returns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ret</th>\n",
       "      <th>tradeRet</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-01-06</th>\n",
       "      <td>-0.018701</td>\n",
       "      <td>0.018701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-07</th>\n",
       "      <td>-0.004069</td>\n",
       "      <td>0.004069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-08</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-09</th>\n",
       "      <td>-0.023006</td>\n",
       "      <td>-0.023006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-10</th>\n",
       "      <td>-0.011224</td>\n",
       "      <td>0.011224</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 ret  tradeRet\n",
       "Date                          \n",
       "2014-01-06 -0.018701  0.018701\n",
       "2014-01-07 -0.004069  0.004069\n",
       "2014-01-08  0.000000 -0.000000\n",
       "2014-01-09 -0.023006 -0.023006\n",
       "2014-01-10 -0.011224  0.011224"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OBVtrade = trade(OBV, close)\n",
    "OBVtrade.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x29d2a78fe80>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 评价交易策略表现\n",
    "ret = OBVtrade.ret\n",
    "tradeRet = OBVtrade.tradeRet\n",
    "ret.name = 'BuyAndHold'\n",
    "tradeRet.name = 'OBVTrade'\n",
    "(1 + ret).cumprod().plot(label='ret', linestyle='dashed')\n",
    "(1+tradeRet).cumprod().plot(label='tradeRet')\n",
    "plt.title('累积OBV交易策略绩效表现')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "def backtest(ret, tradeRet):\n",
    "    def performance(x):\n",
    "        winpct = len(x[x>0]/len(x[x!=0]))\n",
    "        annRet = (1 + x).cumprod()[-1] **(245/len(x)) - 1\n",
    "        sharpe = ffn.calc_risk_return_ratio(x)\n",
    "        maxDD = ffn.calc_max_drawdown((1 + x).cumprod())\n",
    "        perfo = pd.Series([winpct, annRet, sharpe, maxDD], index=['win rate',\n",
    "                                                                 'annualized return', \\\n",
    "                                                                 'sharp ratio', 'maximum drawdown'])\n",
    "        return (perfo)\n",
    "    \n",
    "    BuyAndHold = performance(ret)\n",
    "    OBVTrade = performance(tradeRet)\n",
    "    return (pd.DataFrame({ret.name: BuyAndHold, \\\n",
    "                         tradeRet.name: OBVTrade}))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BuyAndHold</th>\n",
       "      <th>OBVTrade</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>win rate</th>\n",
       "      <td>228.000000</td>\n",
       "      <td>236.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>annualized return</th>\n",
       "      <td>-0.188429</td>\n",
       "      <td>0.236588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sharp ratio</th>\n",
       "      <td>-0.025735</td>\n",
       "      <td>0.049189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maximum drawdown</th>\n",
       "      <td>-0.484648</td>\n",
       "      <td>-0.267896</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   BuyAndHold    OBVTrade\n",
       "win rate           228.000000  236.000000\n",
       "annualized return   -0.188429    0.236588\n",
       "sharp ratio         -0.025735    0.049189\n",
       "maximum drawdown    -0.484648   -0.267896"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OBVtest = backtest(ret, tradeRet)\n",
    "OBVtest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ret</th>\n",
       "      <th>tradeRet</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-01-06</th>\n",
       "      <td>-0.018701</td>\n",
       "      <td>0.018701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-07</th>\n",
       "      <td>-0.004069</td>\n",
       "      <td>0.004069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-08</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 ret  tradeRet\n",
       "Date                          \n",
       "2014-01-06 -0.018701  0.018701\n",
       "2014-01-07 -0.004069  0.004069\n",
       "2014-01-08  0.000000 -0.000000"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smOBVtrade = trade(smOBV, close)\n",
    "smOBVtrade.head(n=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x29d2bc77bb0>"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ret = smOBVtrade.ret\n",
    "ret.name = 'BuyAndHOld'\n",
    "smtradeRet = smOBVtrade.tradeRet\n",
    "smtradeRet.name = 'smOBVtrade'\n",
    "\n",
    "(1 + ret).cumprod().plot(label='ret', linestyle='dashed')\n",
    "(1+smtradeRet).cumprod().plot(label='smOBVtrade')\n",
    "plt.title('简单OBV交易策略绩效表现')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BuyAndHOld</th>\n",
       "      <th>smOBVtrade</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>win rate</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>12.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>annualized return</th>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.999999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sharp ratio</th>\n",
       "      <td>-0.409790</td>\n",
       "      <td>-0.107584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maximum drawdown</th>\n",
       "      <td>-0.913915</td>\n",
       "      <td>-0.875198</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   BuyAndHOld  smOBVtrade\n",
       "win rate             9.000000   12.000000\n",
       "annualized return   -1.000000   -0.999999\n",
       "sharp ratio         -0.409790   -0.107584\n",
       "maximum drawdown    -0.913915   -0.875198"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test = backtest(ret, smtradeRet)\n",
    "test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x245c87faca0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(1 + ret).cumprod().plot(label='ret', linestyle='dashed')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x29d2bce1a60>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ret.plot(figsize=(16,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6741"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
